1. Measuring Sedentary Behavior by Means of Muscular Activity and Accelerometry
- Author
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Walter Siegl, Silas Hirschi, Daniel Baumgartner, Maria Hagströmer, Wim Grooten, Roman Kuster, and Mirco Huber
- Subjects
Adult ,Male ,electromyography ,medicine.medical_specialty ,calibration study ,inactive sitting and standing ,Posture ,Walking ,Electromyography ,lcsh:Chemical technology ,Accelerometer ,Sitting ,Biochemistry ,Article ,Office workers ,objective measurement ,Analytical Chemistry ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Accelerometry ,decision tree ,Ssensitivity and specificity ,Humans ,Medicine ,lcsh:TP1-1185 ,030212 general & internal medicine ,Electrical and Electronic Engineering ,Workplace ,Instrumentation ,indirect calorimetry ,active sitting and standing ,medicine.diagnostic_test ,business.industry ,Objective method ,030229 sport sciences ,Sedentary behavior ,Middle Aged ,artificial intelligence ,Atomic and Molecular Physics, and Optics ,610: Medizin und Gesundheit ,Increased risk ,sensitivity and specificity ,Activity classification ,occupational physical activity and sedentary behavior monitor ,Female ,Sedentary Behavior ,business - Abstract
Sedentary Behavior (SB) is among the most frequent human behaviors and is associated with a plethora of serious chronic lifestyle diseases as well as premature death. Office workers in particular are at an increased risk due to their extensive amounts of occupational SB. However, we still lack an objective method to measure SB consistent with its definition. We have therefore developed a new measurement system based on muscular activity and accelerometry. The primary aim of the present study was to calibrate the new-developed 8-CH-EMG+ for measuring occupational SB against an indirect calorimeter during typical desk-based office work activities. In total, 25 volunteers performed nine office tasks at three typical workplaces. Minute-by-minute posture and activity classification was performed using subsequent decision trees developed with artificial intelligence data processing techniques. The 8-CH-EMG+ successfully identified all sitting episodes (AUC = 1.0). Furthermore, depending on the number of electromyography channels included, the device has a sensitivity of 83&ndash, 98% and 74&ndash, 98% to detect SB and active sitting (AUC = 0.85&ndash, 0.91). The 8-CH-EMG+ advances the field of objective SB measurements by combining accelerometry with muscular activity. Future field studies should consider the use of EMG sensors to record SB in line with its definition.
- Published
- 2018
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